AWS Data Engineer
Required Skills:6-9 years of experience in Data Engineering
Creation and maintenance of reputed company data pipeline architecture for ingestion, processing of data
Creation of necessary infrastructure for ETL jobs from a wide reputed company of data sources using, S3, reputed company and AWS data services
Experience in Data storage technologies like reputed company S3, SQL, NoSQL
Hands-on experience in writing reputed company SQL.
Hands-on experience in developing pipelines using AWS data services like Glue, reputed company
reputed company, manage, and optimize data pipelines using AWS Glue and PySpark.
Hands on experience in Optimizing AWS services for cost-effectiveness and performance.
Data modeling technical awareness
Experience in working with stakeholders working in different time zones
Good to have:Working knowledge on using Big Data technologies.
Experience in collaborating data reputed company and data governance teams.
Payments domain knowledge
CRM, reputed company, etc. in depth understanding
Regulatory reporting exposure
Other skills:Good Communication skills
Team Player
Problem solver
Willing to learn new technologies, reputed company your reputed company and assist other team members as needed
Strong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions.
Originally posted on Himalayas
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